Results 11 to 20 of about 781,342 (287)
Deep learning-based video stream reconstruction in mass-production diffractive optical systems [PDF]
Компьютерная оптика, 2021 Many recent studies have focused on developing image reconstruction algorithms in optical systems based on flat optics. These studies demonstrate the feasibility of applying a combination of flat optics and the reconstruction algorithms in real vision ...
V. Evdokimova +12 more
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Value of Virtual Reality Technology in Image Inspection and 3D Geometric Modeling
IEEE Access, 2020 Aiming at the poor expressive ability of image statistical information during the reconstruction process of traditional 3D image reconstruction method based on virtual reality technology, resulting in low accuracy of 3D image after reconstruction, a new ...
Longyu Lu, Jinkai Ma, Shuying Qu
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Multi-frame Image Super-resolution Reconstruction Using Multi-grained Cascade Forest [PDF]
International Journal of Electronics and Telecommunications, 2019 Super-resolution image reconstruction utilizes two algorithms, where one is for single-frame image reconstruction, and the other is for multi-frame image reconstruction.
Yaming Wang, Zhikang Luo, Wenqing Huang
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Sensors, 2021 In this paper, we use Frame Theory to develop a generalized OCT image reconstruction method using redundant and non-uniformly spaced frequency domain samples that includes using non-redundant and uniformly spaced samples as special cases. We also correct
Karim Nagib +4 more
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Computational Imaging for VLBI Image Reconstruction [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Accepted for publication at CVPR 2016, Project Website: http://vlbiimaging.csail.mit.edu/, Video of Oral Presentation at CVPR June 2016: https://www.youtube.com/watch?v ...
Bouman, Katherine L. +5 more
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On Hallucinations in Tomographic Image Reconstruction
IEEE Transactions on Medical Imaging, 2021 Tomographic image reconstruction is generally an ill-posed linear inverse problem. Such ill-posed inverse problems are typically regularized using prior knowledge of the sought-after object property. Recently, deep neural networks have been actively investigated for regularizing image reconstruction problems by learning a prior for the object ...
Sayantan Bhadra +3 more
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Metal Artifact Reduction in CT: Where Are We After Four Decades?
IEEE Access, 2016 Methods to overcome metal artifacts in computed tomography (CT) images have been researched and developed for nearly 40 years. When X-rays pass through a metal object, depending on its size and density, different physical effects will negatively affect ...
Lars Gjesteby +6 more
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Image reconstruction by linear programming [PDF]
IEEE Transactions on Image Processing, 2005 One way of image denoising is to project a noisy image to the subspace of admissible images derived, for instance, by PCA. However, a major drawback of this method is that all pixels are updated by the projection, even when only a few pixels are corrupted by noise or occlusion.
Tsuda, K., Rätsch, G.
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Psicooncologia, 2019 Aim: Analyze Body Image and its influence on Quality of Life in women who have undergone mastectomy as part of the treatment for breast cancer, with immediate reconstruction, delayed reconstruction or mastectomy without breast reconstruction. Method: The
Andrea Cecilia Gargantini Gargantini +1 more
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Research on Image Reconstruction of Compressed Sensing Based on a Multi-Feature Residual Network
Sensors, 2020 In order to solve the problem of how to quickly and accurately obtain crop images during crop growth monitoring, this paper proposes a deep compressed sensing image reconstruction method based on a multi-feature residual network.
Ruili Nan +3 more
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